Babar Zaman

Cited by

	All	Since 2019
Citations	718	633
h-index	16	15
i10-index	21	20

180

135

20152016201720182019202020212022202320245 11 35 29 47 56 104 165 153 106

Co-authors

Muhammad RiazProfessor, King Fahd University of Petroleum and MineralsVerified email at kfupm.edu.sa
Muhammad Hisyam LeeUniversiti Teknologi MalaysiaVerified email at utm.my
Nasir AbbasAssociate Professor, Department of Mathematics, King Fahd University of Petroleum and MineralsVerified email at kfupm.edu.sa
Syed Masroor AnwarAssistant Professor of Statistics, University of Azad Jammu and KashmirVerified email at ajku.edu.pk
Rajiv KhandekarKing Khaled Eye Specialist HospitalVerified email at kkesh.med.sa
Rashid MehmoodKing Fahd University of Petroleum and MineralsVerified email at kfupm.edu.sa
Mu'azu Ramat Abujiya, PhDKing Fahd University of Petroleum & MineralsVerified email at kfupm.edu.sa
Saddam Akber AbbasiQatar UniversityVerified email at qu.edu.qa
r.j.m.m. doesProfessor University of AmsterdamVerified email at uva.nl
Iftikhar AliDepartment of Mathematics, College of Sciences, University of Hafr Al-BatinVerified email at uohb.edu.sa
Kuan Yew WongUniversiti Teknologi MalaysiaVerified email at mail.fkm.utm.my
Shamraiz AhmadNUST, IST, UTM, Santa'nna, RIT, UNIBOVerified email at smme.nust.edu.pk
Rizwan MalikKing Khaled Eye Hospital, RiyadhVerified email at kkesh.med.sa
Muhammad AbidDepartment of Statistics Government College University FaisalabdVerified email at gcuf.edu.pk

Babar Zaman

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

Verified email at giki.edu.pk - Homepage

SPC Biostatistics Artificial neural networks Machine learning Deep learning


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Mixed cumulative sum–exponentially weighted moving average control charts: an efficient way of monitoring process location B Zaman, M Riaz, N Abbas, RJMM Does Quality and Reliability Engineering International 31 (8), 1407-1421, 2015	121	2015
Mixed CUSUM-EWMA chart for monitoring process dispersion B Zaman, N Abbas, M Riaz, MH Lee The International Journal of Advanced Manufacturing Technology 86, 3025-3039, 2016	56	2016
An improved process monitoring by mixed multivariate memory control charts: An application in wind turbine field B Zaman, MH Lee, M Riaz Computers & Industrial Engineering 142, 106343, 2020	46	2020
Mixed memory control chart based on auxiliary information for simultaneously monitoring of process parameters: an application in glass field SM Anwar, M Aslam, B Zaman, M Riaz Computers & Industrial Engineering 156, 107284, 2021	43	2021
Attitudes of Saudi Arabian undergraduate medical students towards health research SM Al-Hilali, E Al-Kahtani, B Zaman, R Khandekar, A Al-Shahri, ... Sultan Qaboos University Medical Journal 16 (1), e68, 2016	40	2016
A comprehensive and integrated stochastic-fuzzy method for sustainability assessment in the Malaysian food manufacturing industry S Ahmad, KY Wong, B Zaman Sustainability 11 (4), 948, 2019	37	2019
On efficient phase II process monitoring charts M Riaz, SA Abbasi, S Ahmad, B Zaman The International Journal of Advanced Manufacturing Technology 70, 2263-2274, 2014	37	2014
On mixed memory control charts based on auxiliary information for efficient process monitoring SM Anwar, M Aslam, M Riaz, B Zaman Quality and Reliability Engineering International 36 (6), 1949-1968, 2020	30	2020
An adaptive EWMA scheme‐based CUSUM accumulation error for efficient monitoring of process location B Zaman, MH Lee, M Riaz, MR Abujiya Quality and Reliability Engineering International 33 (8), 2463-2482, 2017	27	2017
An adaptive approach to EWMA dispersion chart using Huber and Tukey functions B Zaman, MH Lee, M Riaz, MR Abujiya Quality and Reliability Engineering International 35 (6), 1542-1581, 2019	26	2019
An enhanced double homogeneously weighted moving average control chart to monitor process location with application in automobile field SM Anwar, M Aslam, B Zaman, M Riaz Quality and Reliability Engineering International 38 (1), 174-194, 2022	22	2022
On the performance of control charts for simultaneous monitoring of location and dispersion parameters B Zaman, M Riaz, MH Lee Quality and Reliability Engineering International 33 (1), 37-56, 2017	21	2017
An adaptive EWMA chart with CUSUM accumulate error-based shift estimator for efficient process dispersion monitoring B Zaman, MH Lee, M Riaz Computers & Industrial Engineering 135, 236-253, 2019	20	2019
On artificial neural networking-based process monitoring under bootstrapping using runs rules schemes B Zaman, M Riaz, S Ahmad, SA Abbasi The International Journal of Advanced Manufacturing Technology 76, 311-327, 2015	17	2015
An Efficient Robust Nonparametric Triple EWMA Wilcoxon Signed‐Rank Control Chart for Process Location Z Rasheed, H Zhang, M Arslan, B Zaman, SM Anwar, M Abid, SA Abbasi Mathematical Problems in Engineering 2021 (1), 2570198, 2021	16	2021
Homogeneously mixed memory charts with application in the substrate production process Z Rasheed, H Zhang, SM Anwar, B Zaman Mathematical Problems in Engineering 2021 (1), 2582210, 2021	16	2021
Hotelling T² control chart based on bivariate ranked set schemes R Mehmood, MH Lee, M Riaz, B Zaman, I Ali Communications in Statistics-Simulation and Computation 51 (1), 1-28, 2022	15	2022
On the efficient monitoring of multivariate processes with unknown parameters N Abbas, M Riaz, S Ahmad, M Abid, B Zaman Mathematics 8 (5), 823, 2020	15	2020
Ocular malignant tumors RB Khandekar, AA Al-Towerki, H Al-Katan, SS Al-Mesfer, EB Abboud, ... Saudi Med J 35 (4), 377-384, 2014	15	2014
An adaptive EWMA control chart based on Hampel function to monitor the process location parameter B Zaman, SZ Mahfooz, R Mehmood, N Khan, T Imran Quality and Reliability Engineering International 39 (4), 1277-1298, 2023	12	2023

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